Data Mining: A Preprocessing Engine
TLDR
This study emphasized on different types of normalization, each of which was tested against the ID3 methodology using the HSV data set, and recommendations were concluded on the best normalization method based on the factors and their priorities.Abstract:
This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A new matrix was designed to check for the best normalization method based on the factors and their priorities. Recommendations were concluded.read more
Citations
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Journal ArticleDOI
Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine
TL;DR: Compressed domain is adopted for fast ship candidate extraction, DNN is exploited for high-level feature representation and classification, and ELM is used for efficient feature pooling and decision making.
Journal ArticleDOI
Standardization and Its Effects on K-Means Clustering Algorithm
Ismail Mohamad,Dauda Usman +1 more
TL;DR: By comparing the results on infectious diseases datasets, it was found that the result obtained by the z-score standardization method is more effective and efficient than min-max and decimal scaling standardization methods.
Proceedings ArticleDOI
Human gesture recognition using Kinect camera
TL;DR: Experimental results have shown that the backpropagation neural network method outperforms other classification methods and can achieve recognition with 100% accuracy, which confirms the high potential of using the Kinect camera in human body recognition applications.
Journal ArticleDOI
Predicting academic success in higher education: literature review and best practices
Eyman Alyahyan,Dilek Düştegör +1 more
TL;DR: This study aims to provide a step-by-step set of guidelines for educators willing to apply data mining techniques to predict student success, and will provide to educators an easier access to datamining techniques, enabling all the potential of their application to the field of education.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Journal ArticleDOI
Induction of Decision Trees
TL;DR: In this paper, an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail, is described, and a reported shortcoming of the basic algorithm is discussed.